Chi-Hieu Pham - RankMe

15 papers Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Machine Learning-Based Modeling of the Anode Heel Effect in X-ray Beam Monte Carlo Simulations. CoRR Hussein Harb, Didier Benoit, Axel Rannou, Chi-Hieu Pham, Valentin Tissot, Bahaa Nasr, Julien Bert
2025	J	`jnl`	Towards automation of warehouse management: Counting boxes on pallets via 3D reconstruction from a single image. Appl. Intell. Ikram Eddahmani, Thibault Napoléon, Chi-Hieu Pham, Isabelle Badoc, Marwa El Bouz
2024	J	`jnl`	Extension of physical activity recognition with 3D CNN using encrypted multiple sensory data to federated learning based on multi-key homomorphic encryption. Comput. Methods Programs Biomed. Chi-Hieu Pham, Thien Huynh-The, Ehsan Sedgh Gooya, Marwa El Bouz, Ayman Alfalou
2023	—	`conf`	Privacy Preserving Encoder Classifier for Access Control Based on Face Recognition. IPTA Raghida El Saj, Chi-Hieu Pham, Ehsan Sedgh Gooya, Ayman Alfalou, Mohamad Khalil
2023	J	`jnl`	Unsupervised Learning of Disentangled Representation via Auto-Encoding: A Survey. Sensors Ikram Eddahmani, Chi-Hieu Pham, Thibault Napoléon, Isabelle Badoc, Jean-Rassaire Fouefack, Marwa El Bouz
2022	J	`jnl`	PCA-AE: Principal Component Analysis Autoencoder for Organising the Latent Space of Generative Networks. J. Math. Imaging Vis. Chi-Hieu Pham, Saïd Ladjal, Alasdair Newson
2020	J	`jnl`	PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks. CoRR Chi-Hieu Pham, Saïd Ladjal, Alasdair Newson
2020	J	`jnl`	SegSRGAN: Super-resolution and segmentation using generative adversarial networks - Application to neonatal brain MRI. Comput. Biol. Medicine Quentin Delannoy, Chi-Hieu Pham, Clément Cazorla, Carlos Tor-Díez, Guillaume Dollé, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau
2019	J	`jnl`	A PCA-like Autoencoder. CoRR Saïd Ladjal, Alasdair Newson, Chi-Hieu Pham
2019	—	`conf`	Evaluation of cortical segmentation pipelines on clinical neonatal MRI data. EMBC Carlos Tor-Díez, Chi-Hieu Pham, Hélène Meunier, Sylvain Faisan, Isabelle Bloch, Nathalie Bednarek, Nicolas Passat, François Rousseau
2019	J	`jnl`	Multiscale brain MRI super-resolution using deep 3D convolutional networks. Comput. Medical Imaging Graph. Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau
2019	—	`conf`	Simultaneous Super-Resolution and Segmentation Using a Generative Adversarial Network: Application to Neonatal Brain MRI. ISBI Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau
2018	—	`—`	Deep learning for medical image super resolution and segmentation. (Apprentisage profond pour la super-résolution et la segmentation d'images médicales). Chi-Hieu Pham
2017	—	`conf`	Brain MRI super-resolution using deep 3D convolutional networks. ISBI Chi-Hieu Pham, Aurélien Ducournau, Ronan Fablet, François Rousseau
2014	—	`conf`	An Approach for Efficient Detection of Cephalometric Landmarks. EUSPN/ICTH Thuong Le-Tien, Chi-Hieu Pham